azure-core-tracing-opentelemetry
Microsoft Azure Core OpenTelemetry plugin Library for Python
Decision gist · record as of 2026-08-14
Yes, if you are using Azure SDKs and need distributed tracing. The package is actively maintained, has low install friction, and integrates cleanly with opentelemetry-api and azure-core. The main condition is that you must run Python 3.10 or later (3.8 and 3.9 are no longer supported as of version 1.0.0b13). License information is not clearly documented, so verify licensing terms before use in restricted environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; Python 3.8 and 3.9 are no longer supported as of version 1.0.0b13.
- Low install friction with only two runtime dependencies (opentelemetry-api and azure-core).
- Package is actively maintained with a recent release; however, version 1.0.0b13 dropped support for Python 3.8 and 3.9, requiring Python 3.10 or later.
License · maintenance · safety
(unclear)
last release 2026-05-01 (105 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 16,254,043 downloads/mo, #1,157 on PyPI
Alternatives
Verify before relying
pip install azure-core-tracing-opentelemetry
from azure.core.settings import settings
settings.tracing_implementation = "opentelemetry"
from opentelemetry import trace
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span(name="MyApplication"):
pass # Azure SDK calls within this span will be traced- Whether license information is available elsewhere (license_raw and license_spdx are both null).
- Compatibility matrix with specific Azure SDK versions and OpenTelemetry exporter implementations.
What it is and what it does
This package is a plugin that bridges Azure SDK clients with OpenTelemetry, the industry-standard observability framework. It automatically instruments HTTP requests and operations made by Azure service clients to emit distributed tracing spans without requiring additional code changes. Once configured—either via the AZURE_SDK_TRACING_IMPLEMENTATION environment variable or programmatically through azure.core.settings—the plugin hooks into Azure Core's pipeline to capture span data including HTTP methods, status codes, server addresses, and exception details, then exports them to your configured OpenTelemetry exporter.
The package handles span lifecycle management, context propagation, and suppression of redundant internal spans automatically. Recent versions align span attribute names with OpenTelemetry semantic conventions version 1.23.1, remapping attributes like http.method to http.request.method for standards compliance. It is designed to work seamlessly with any Azure SDK that depends on azure-core, requiring minimal setup beyond installing the package and configuring your OpenTelemetry tracer provider.
Use it for
- Enable distributed tracing for Azure Storage, Key Vault, or Event Hubs calls to track request flow across services.
- Export Azure SDK operation spans to Azure Monitor for centralized observability and performance monitoring.
- Diagnose latency and failures in Azure service interactions by correlating spans with trace IDs across your system.
- Integrate Azure workloads into existing OpenTelemetry observability pipelines without code changes to Azure client calls.
- Record exception details and HTTP status codes in spans for post-incident analysis and alerting on Azure SDK errors.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using Azure SDKs and need distributed tracing.
The package is actively maintained, has low install friction, and integrates cleanly with opentelemetry-api and azure-core. The main condition is that you must run Python 3.10 or later (3.8 and 3.9 are no longer supported as of version 1.0.0b13). License information is not clearly documented, so verify licensing terms before use in restricted environments.
Install
azure-core-tracing-opentelemetry on PyPI
Before you install
Low install friction with only two runtime dependencies (opentelemetry-api and azure-core). Package is actively maintained with a recent release; however, version 1.0.0b13 dropped support for Python 3.8 and 3.9, requiring Python 3.10 or later.
Requires Python 3.10 or later; Python 3.8 and 3.9 are no longer supported as of version 1.0.0b13.
Quickstart
pip install azure-core-tracing-opentelemetry
from azure.core.settings import settings
settings.tracing_implementation = "opentelemetry"
from opentelemetry import trace
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span(name="MyApplication"):
pass # Azure SDK calls within this span will be traced
Verify before relying
- Whether license information is available elsewhere (license_raw and license_spdx are both null).
- Compatibility matrix with specific Azure SDK versions and OpenTelemetry exporter implementations.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesopentelemetry-apiazure-core |
| Maintenance | Actively maintained 105 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 16,254,043 / month, #1,157 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: azure_core_tracing_opentelemetry-1.0.0b13-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure opentelemetry tracing”
- azure-core-tracing-opentelemetryIntegrates Azure SDK clients with OpenTelemetry to emit distributed…
- opentelemetry-resource-detector-azureProvides OpenTelemetry resource detectors that automatically identify…
- azure-monitor-opentelemetry-exporterExports OpenTelemetry traces, metrics, and logs from Python…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also azure-monitor-opentelemetry-exporter · pyroscope-otel · azure-monitor-opentelemetry · azure-monitor-events-extension · microsoft-opentelemetry · opentelemetry-sdk-extension-aws · uipath-core · opentracing · nv-one-logger-core · microsoft-agents-a365-observability-core